Persona LLM for Sysley based on Mistral

Structure of Projet

Client Folder

The client folder contains the front end, developed in Svelte with TypeScript and styled using Tailwind CSS. To start the front end:

1. Install the dependencies: npm install.
2. Configure the necessary environment variables (see below).
3. Launch the application: npm run dev.
4. The API is accessible by default via the URL http://localhost:5173.

Server Folder

The server folder contains the backend, developed with Express in TypeScript. It communicates with a MongoDB database and makes local calls to a Mistral AI model via Ollama:

1. Installez et lancez MongoDB Community

2. Installer Ollama : curl https://ollama.ai/install.sh | sh et lancez Mistral7B dessus ollama run mistral

3. Installez les dépendances : npm install.

4. Configurez les variables d'environnement nécessaires (voir ci-dessous).

5. Lancez le serveur : npm run start.

6. L'api est accessible par default via l'URL http://localhost:3000

7. Install and launch MongoDB Community.

8. Install Ollama: curl https://ollama.ai/install.sh | sh and run Mistral7B on it ollama run mistral.

9. Install the dependencies: npm install.

10. Configure the necessary environment variables (see below).

11. Launch the server: npm run start.

12. The API is accessible by default via the URL http://localhost:3000.

Environment Variables

Ensure you configure the environment variables contained in the .env.example in a personal .env file:

Ollama Calls

The backend makes local calls to Ollama. Ensure that the OllamaBot is properly installed and functioning on the port specified in the environment variables.

Contributors

Big thanks to the team for this project:

• Leo Outmizguine
• Timothe Jaquot
• Luan Bourbier
• Pablo Peiro

Video Demo

To see a demonstration of the application in action, you can view the video here: